Triple
T17773242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NK-33 |
E443694
|
entity |
| Predicate | gimbalRange_deg |
P128875
|
FINISHED |
| Object | about 5 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: about 5 | Statement: [NK-33, gimbalRange_deg, about 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gimbalRange_deg Context triple: [NK-33, gimbalRange_deg, about 5]
-
A.
gimbalCapability
Indicates the ability of a system or device to support and control a gimbal’s movement or stabilization functions.
-
B.
maxVerticalAngle
Indicates the greatest vertical angular difference or tilt between two entities or directions.
-
C.
tiltingCapability
Indicates the ability of one entity to tilt or be tilted relative to another or to a reference orientation.
-
D.
hasAttitudeControl
Indicates that an entity possesses the capability or system to control and adjust its orientation or attitude in space.
-
E.
hasMagneticHeadingRangeInDegrees
Indicates the range of possible magnetic heading values, measured in degrees, associated with an entity’s orientation or navigation.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4871a2130819081743ae89dddc64b |
completed | April 19, 2026, 7:41 a.m. |
| PD | Predicate disambiguation | batch_69e3d8d8e538819084f1584426b41d5e |
completed | April 18, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69e3db7704588190a34a422421152173 |
completed | April 18, 2026, 7:28 p.m. |
Created at: April 10, 2026, 10:12 a.m.